DocumentCode
2167755
Title
A new method of SAR image segmentation based on neural network
Author
XiaoRong, Xue ; Yanning, Zhang ; Rongchun, Zhao ; Feng, Duan ; Yi, Chen
Author_Institution
Northwestern Polytech. Univ., Xi´´an, China
fYear
2003
fDate
27-30 Sept. 2003
Firstpage
149
Lastpage
153
Abstract
For the speckle consisted in SAR image, SR image cannot be segmented efficiently with traditional methods. In this paper, according to the features of SAR image and ANN, the automatic clustering method based on competitive Hopfield NN is used o segment SAR image. With experiment, it is proved that a good result can be gotten with the method proposed in the paper, and at the same time, the speckle in the SAR image is also reduced greatly.
Keywords
Hopfield neural nets; image segmentation; speckle; synthetic aperture radar; Hopfield NN; SAR image; automatic clustering; image segmentation; neural network; speckle; Artificial neural networks; Clouds; Clustering methods; Computer vision; Histograms; Image segmentation; Neural networks; Object recognition; Speckle; Stochastic resonance;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN
0-7695-1957-1
Type
conf
DOI
10.1109/ICCIMA.2003.1238116
Filename
1238116
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